Clear definitions for the metrics teams actually report on — what each one measures, the data it needs, the SQL patterns behind it, and the pitfalls to avoid. Every guide shows how to track the metric in Metabase from the tools you already use. Filter by category to find the ones that match your work.
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MRR
RevenueThe normalized monthly value of active subscriptions — the base for churn, retention, and LTV.
Churn rate
RevenueRevenue vs. customer churn, and voluntary vs. involuntary — where recurring revenue leaks.
Net revenue retention
RevenueExpansion minus contraction and churn across your existing customers.
ARPU
RevenueAverage recurring revenue per user or account, and how it differs from ARPA.
LTV
RevenueThe expected gross-margin value of a customer over their lifetime.
Failed-payment rate
RevenueThe share of payments that fail — the main driver of involuntary churn.
DORA metrics
Software deliveryThe four keys: deployment frequency, lead time for changes, change failure rate, and MTTR.
Deployment frequency
Software deliveryHow often you ship to production — a DORA throughput metric.
Lead time for changes
Software deliveryTime from commit to running in production — a DORA throughput metric.
Change failure rate
Software deliveryThe share of deploys that cause a failure — a DORA stability metric.
MTTR
Software deliveryHow fast you recover from a failure in production — a DORA stability metric.
Cycle time
Software deliveryTime from work started to done — how fast issues move once picked up.
Lead time
Software deliveryTime from request created to delivered — end-to-end issue flow.
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